About the company
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast serves hundreds of multi-unit brands. As part of the Enterprise Drive-Thru team, you'll help build the next generation of technology for some of the largest restaurant brands in the industry.
Responsibilities
- Own the Vision AI product vision and strategy. Define the long-term roadmap for capabilities including vehicle detection, identification, tracking, timing, operational intelligence, and new camera-powered experiences.
- Drive zero-to-one product development. Lead discovery, prototyping, pilots, commercialization, and scaling of new AI and drive-thru products in highly ambiguous problem spaces.
- Help shape Enterprise Drive-Thru strategy. Develop a deep understanding of large, multi-location restaurant brands and identify opportunities where Toast can build differentiated solutions beyond Vision AI.
- Own hardware-enabled experiences. Define the hardware ecosystem required to support Vision AI and Drive-Thru products, including cameras, media players, networking, digital menu boards, and emerging technologies.
- Lead customer research and field validation. Spend time with Enterprise customers and in restaurants understanding operational workflows, validating solutions, and translating insights into product strategy.
- Drive technology and partner decisions. Evaluate camera systems, computer vision platforms, AI vendors, and architectural approaches. Lead trade-offs across build vs. buy vs. partner, cloud vs. edge, performance, cost, complexity, scalability, and customer value.
- Drive commercialization and adoption. Partner with GTM teams on packaging, positioning, pricing inputs, pilots, and rollout strategies that drive customer outcomes and Enterprise growth.
- Lead across the organization. Influence Engineering, Design, Hardware Operations, Security, Legal, Customer Care, Sales, Product Marketing, and senior leadership to align teams around strategy and execution.
- Embrace AI-first product development. Use AI tools to accelerate discovery and execution while identifying new ways AI can create value for restaurants and guests.
Requirements
- Product leadership experience. 8+ years of Product Management experience owning complex products, significant product areas, or multi-team initiatives from strategy through scale.
- AI and emerging technology experience. Experience delivering AI-enabled products, machine learning systems, computer vision applications, or adjacent emerging technologies.
- Zero-to-one leadership. Proven ability to take ambiguous opportunities from discovery through prototype, pilot, commercialization, and scale.
- Enterprise product experience. Experience building for large, complex customers while balancing individual customer needs with scalable product investments.
- Technical fluency. Ability to partner deeply with Engineering and Hardware teams on architecture, integrations, AI systems, and technical trade-offs.
- Strategic decision making. Ability to balance customer impact, performance, scalability, operational complexity, development investment, and economics when defining product direction.
- Customer obsession. Experience conducting deep customer discovery, field research, and pilots with strategic customers.
- Vendor and partner strategy. Experience evaluating technology vendors and making build vs. buy vs. partner decisions.
- Leadership and influence. Strong communication skills and demonstrated ability to align senior stakeholders and cross-functional teams around a product vision.
Nice to Haves
- Experience with computer vision, camera systems, video analytics, or machine learning products, especially real-time video.
- Experience building products that combine software and hardware.
- Familiarity with AI model evaluation, experimentation, and performance measurement.
- Experience in restaurant, retail, hospitality, automotive, transportation, or other operationally complex environments.
- Familiarity with drive-thru operations or multi-location restaurant technology.
- Technical background or deep experience partnering with Engineering on architecture, AI infrastructure, or hardware/software integrations.